python实现两张图片的像素融合
本文实例为大家分享了python实现两张图片像素融合的具体代码,供大家参考,具体内容如下
通过计算两张图片的颜色直方图特征,利用直方图对图片的颜色进行融合。
importnumpyasnp importcv2 fromPILimportImage,ExifTags defcalcMeanAndVariance(img): row=img.shape[0] col=img.shape[1] #channel=img.shape[2] total=row*col print(row,col,total) mean=np.zeros((3)) variance=np.zeros((3)) sum=np.zeros((3)) foriinrange(row): forjinrange(col): sum[0]+=img[i][j][0] sum[1]+=img[i][j][1] sum[2]+=img[i][j][2] mean[0]=sum[0]/total mean[1]=sum[1]/total mean[2]=sum[2]/total sum=np.zeros((3)) foriinrange(row): forjinrange(col): sum[0]=np.square(img[i][j][0]-mean[0]) sum[1]=np.square(img[i][j][1]-mean[1]) sum[2]=np.square(img[i][j][2]-mean[2]) variance[0]=np.sqrt(sum[0]/total) variance[1]=np.sqrt(sum[1]/total) variance[2]=np.sqrt(sum[2]/total) print(mean,variance) returnmean,variance defcololTransit(img1,img2): image1=cv2.cvtColor(img1,cv2.COLOR_BGR2LAB) image2=cv2.cvtColor(img2,cv2.COLOR_BGR2LAB) mean1,variance1=calcMeanAndVariance(image1) mean2,variance2=calcMeanAndVariance(image2) #print(mean1,variance1) radio=np.zeros((3)) radio[0]=variance2[0]/variance1[0] radio[1]=variance2[1]/variance1[1] radio[2]=variance2[2]/variance1[2] print('test',radio) row=image1.shape[0] col=image1.shape[1] foriinrange(row): forjinrange(col): image1[i][j][0]=min(255,max(0,radio[0]*(image1[i][j][0]-mean1[0])+mean2[0])) image1[i][j][1]=min(255,max(0,radio[1]*(image1[i][j][1]-mean1[1])+mean2[1])) image1[i][j][2]=min(255,max(0,radio[2]*(image1[i][j][2]-mean1[2])+mean2[2])) image=cv2.cvtColor(image1,cv2.COLOR_BGR2LAB) returnimage if__name__=='__main__': img1=cv2.imread('1.jpg') img2=cv2.imread('2.jpg') cv2.namedWindow('src') cv2.namedWindow('dst') #cv2.resizeWindow('src',500,500) #cv2.resizeWindow('dst',500,500) cv2.imshow('src',img1) cv2.imshow('dst',img2) cv2.waitKey() cv2.destroyAllWindows() img=cololTransit(img1,img2) cv2.namedWindow('result') cv2.imshow('result',img) cv2.waitKey() cv2.destroyAllWindows() #print(img)
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